JURKAS, Pavel, Milan ŠTEFINA, David NOVÁK and Michal BATKO. Audio Similarity Retrieval Engine. In Third International Conference on Similarity Search and Applications. New York: ACM Press, 2010, p. 121-122. ISBN 978-1-4503-0420-7.
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Basic information
Original name Audio Similarity Retrieval Engine
Name in Czech Systém pro podobnostní vyhledávání v audio datech
Authors JURKAS, Pavel (203 Czech Republic, guarantor, belonging to the institution), Milan ŠTEFINA (203 Czech Republic, belonging to the institution), David NOVÁK (203 Czech Republic, belonging to the institution) and Michal BATKO (203 Czech Republic, belonging to the institution).
Edition New York, Third International Conference on Similarity Search and Applications, p. 121-122, 2 pp. 2010.
Publisher ACM Press
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Turkey
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
RIV identification code RIV/00216224:14330/10:00045249
Organization unit Faculty of Informatics
ISBN 978-1-4503-0420-7
Keywords in English similarity search; metric space; audio; MPEG-7; MESSIF
Tags DISA
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 14/3/2016 14:51.
Abstract
This paper briefly describes an audio similarity retrieval engine included in the MUFIN project. The engine uses low-level audio descriptors defined by MPEG-7 standard for calculation of similarity measure between audio recordings. The core of the engine is implemented in Java with the use of the MESSIF framework that provides support for metric-based indexing and searching. The presentation layer of the engine is provided by the MUFIN interface.
Links
GAP103/10/0886, research and development projectName: Vizuální vyhledávání obrázků na Webu (Acronym: VisualWeb)
Investor: Czech Science Foundation, Content-based Image Retrieval on the Web Scale
GA201/09/0683, research and development projectName: Vyhledávání v rozsáhlých multimediálních databázích
Investor: Czech Science Foundation, Similarity Searching in Very Large Multimedia Databases
GPP202/10/P220, research and development projectName: Podobnostní vyhledávání s konstantní škálovatelností (Acronym: SIM-SCALE)
Investor: Czech Science Foundation
GP201/08/P507, research and development projectName: Komplexní podobnostní dotazy nad rozsáhlými objemy dat
Investor: Czech Science Foundation, Complex similarity searching in very large data collections
1M0545, research and development projectName: Institut Teoretické Informatiky
Investor: Ministry of Education, Youth and Sports of the CR, Institute for Theoretical Computer Science
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